| 1. |
- Menden, MP, et al.
(author)
-
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
- 2019
-
In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1, s. 2674-
-
Journal article (peer-reviewed)abstract
- The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop resistance that might be overcome with drug combinations. However, the number of possible combinations is vast, necessitating data-driven approaches to find optimal patient-specific treatments. Here we report AstraZeneca’s large drug combination dataset, consisting of 11,576 experiments from 910 combinations across 85 molecularly characterized cancer cell lines, and results of a DREAM Challenge to evaluate computational strategies for predicting synergistic drug pairs and biomarkers. 160 teams participated to provide a comprehensive methodological development and benchmarking. Winning methods incorporate prior knowledge of drug-target interactions. Synergy is predicted with an accuracy matching biological replicates for >60% of combinations. However, 20% of drug combinations are poorly predicted by all methods. Genomic rationale for synergy predictions are identified, including ADAM17 inhibitor antagonism when combined with PIK3CB/D inhibition contrasting to synergy when combined with other PI3K-pathway inhibitors in PIK3CA mutant cells.
|
|
| 3. |
- Sapisochin, G., et al.
(author)
-
Benefit of Treating Hepatocellular Carcinoma Recurrence after Liver Transplantation and Analysis of Prognostic Factors for Survival in a Large Euro-American Series
- 2015
-
In: Annals of Surgical Oncology. - : Springer Science and Business Media LLC. - 1534-4681 .- 1068-9265. ; 22:7, s. 2286-2294
-
Journal article (peer-reviewed)abstract
- To identify prognostic factors after hepatocellular carcinoma (HCC) recurrence after liver transplantation (LT). We retrospectively reviewed the combined experience at Toronto General Hospital and Hospital Vall d'Hebron managing HCC recurrence after LT (n = 121) between 2000 and 2012. We analyzed prognostic factors by uni- and multi-variate analysis. Median follow-up from LT was 29.5 (range 2-129.4) months. Median follow-up from HCC recurrence was 12.2 (range 0.1-112.5) months. At recurrence, 31.4 % were treated with curative-intent treatments (surgery or ablation), 42.1 % received palliative treatment, and 26.4 % received best supportive care. The 1-, 3-, and 5-year survivals, respectively, after HCC recurrence were 75, 60, and 31 %, vs. 60, 19, and 12 %, vs. 52, 4, and 5 % (p < 0.001). By multivariate analysis, not being amenable to a curative-intent treatment [hazard ratio (HR) 4.7, 95 % confidence interval (CI) 2.7-8.3, p < 0.001], alpha-fetoprotein of a parts per thousand yen100 ng/mL at the time of HCC recurrence (HR 2.1, 95 % CI 1.3-2.3, p = 0.002) and early recurrence (< 12 months) after LT (HR 1.6, 95 % CI 1.1-2.5, p = 0.03) were found to be poor prognosis factors. A prognostic score was devised on the basis of these three independent variables. Patients were divided into three groups, as follows: good prognosis, 0 points (n = 22); moderate prognosis, 1 or 2 points (n = 84); and poor prognosis, 3 points (n = 15). The 1-, 3-, and 5-year actuarial survival for each group was 91, 50, and 50 %, vs. 52, 7, and 2 %, vs. 13, 0, and 0 %, respectively (p < 0.001). Patients with HCC recurrence after transplant amenable to curative-intent treatments can experience significant long-term survival (similar to 50 % at 5 years), so aggressive management should be offered. Poor prognosis factors after recurrence are not being amenable to a curative-intent treatment, alpha-fetoprotein of a parts per thousand yen100 ng/mL, and early (< 1 year) recurrence after LT.
|
|
